Triple
T2400169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vennbahn railway |
E47746
|
entity |
| Predicate | postWorldWarIStatus |
P32617
|
FINISHED |
| Object | transferred to Belgium |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: transferred to Belgium | Statement: [Vennbahn railway, postWorldWarIStatus, transferred to Belgium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: postWorldWarIStatus Context triple: [Vennbahn railway, postWorldWarIStatus, transferred to Belgium]
-
A.
statusAfterWWII
Indicates the condition, role, or classification an entity had following the end of World War II.
-
B.
statusAfter1918
chosen
Indicates the status or condition of an entity as it existed after the year 1918.
-
C.
legalStatusAfterWar
Indicates the legal condition or classification assigned to an entity as a consequence of, or following the conclusion of, a war or armed conflict.
-
D.
postwarOutcome
Indicates the result or consequences that follow for a party or situation after a war has ended.
-
E.
positionOnWorldWarI
Indicates a person’s or group’s stance, opinion, or policy regarding World War I.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a88a1c450c81909f61abb8b6863885 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc8c95d8c819088e4bb4fb32452ae |
completed | March 7, 2026, 6:42 a.m. |
| PD | Predicate disambiguation | batch_69abc5a3825c81909ec6111dfc165453 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:57 p.m.